# Family Office Knowledge Graph

> Family Office Knowledge Graph — ai-familyofficeknowledgegraph-fo-kg. Use this tool when you need to access a comprehensive and organized database of family office information, solving problems related to research, due diligence, and networking. It provides a read-only interface to a vast knowledge graph, taking in public records as input and outputting structured and connected data. Utilize it in contexts where understanding family office relationships, structures, and activities is crucial.

Canonical page: https://skillsregistry.net/skills/ai-familyofficeknowledgegraph-fo-kg  
JSON: https://api.skillsregistry.net/v1/skills/ai-familyofficeknowledgegraph-fo-kg

## Description

Family Office Knowledge Graph: read-only MCP door over the public record. Agentic KG Holdings.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 0.19.12
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.familyofficeknowledgegraph%2Ffo-kg)
- **Repository:** <https://github.com/Agentic-Private-Office/fo-kg-door>

## Use it

MCP endpoint published by the skill: `https://mcp.familyofficeknowledgegraph.ai/mcp`

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ai-familyofficeknowledgegraph-fo-kg"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-familyofficeknowledgegraph-fo-kg` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-familyofficeknowledgegraph-fo-kg/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
